Full-Stack Software Engineer  ·  Dublin, Ireland

rakesh_srinivasan@outlook.com  ·  Portfolio  ·  GitHub  ·  LinkedIn  ·  LeetCode

Senior software engineer specialising in TypeScript, React, and Python — with production experience across high-traffic web platforms, cloud-native APIs, and AI-integrated applications. Currently building AI agents and MCP-powered workflows at GenDigital (Norton / LifeLock). MSc Information Systems, University College Dublin.

Languages

Frontend

Backend

AI / LLM

Cloud & DevOps

Data

End-of-day signal engine for 1,500+ US and Indian stocks. Scores each ticker across 6 technical indicators (RSI, MACD, EMA, Bollinger Bands, OBV, Relative Volume) with market regime detection, then surfaces ranked BUY/SELL picks via a FastAPI backend and Next.js 15 frontend.

AI layer (Google Gemini): chart pattern recognition, news sentiment classification, and plain-English portfolio coaching — with response caching to minimise API costs.

FastAPI Next.js 15 React 19 PostgreSQL Google Gemini Docker Railway

Dublin, Ireland · April 2024 – April 2026

Built and shipped production features across high-traffic consumer security web platforms using a headless CMS architecture.

• AI Development Orchestrator — Independently designed and built an AI agent that connects to Jira, Figma, and browser DevTools via MCP servers, orchestrating the full development workflow — reading a ticket, pulling design specs, and shipping changes to production without manual intervention
• AI-Powered Content Matching — Built a production feature that uses AI to dynamically match and surface relevant content based on keywords, enabling automated content delivery across Norton properties without manual curation
• Component Engineering — Designed and delivered a suite of high-traffic UI components — global navigation, social proof integrations, interactive quizzes, and password tooling — each taken from design through production with full internationalisation and accessibility support
• Commerce & Pricing — Engineered dynamic pricing components with promotional highlight logic and client-side computation refactors to eliminate pricing race conditions
• Observability & SEO — Implemented structured analytics event instrumentation across key components and drove platform-wide SEO improvements including semantic markup and meta strategy

Chennai, India · April 2023 – August 2023

Designed and delivered a multi-vendor e-commerce system from the ground up — covering customer and seller portals, a real-time POS, cloud infrastructure, and AI-assisted onboarding.

• E-commerce Platform — Built a full-stack multi-vendor marketplace with Angular and Django, with separate customer and seller portals, developed test-first using TDD throughout
• Cloud Migration — Re-platformed the backend from AWS EC2 to GCP Cloud Run using Docker and GCP Cloud Build CI/CD — 50% reduction in infrastructure costs, 30% improvement in response times
• AI-Powered Onboarding — Integrated GPT-based image recognition to automate product catalogue population during seller onboarding, cutting onboarding time by 30%
• Real-Time POS — Engineered a Point of Sale system using Django and Angular with MQTT pub-sub messaging for real-time synchronisation between terminals and backend
• Payments — Integrated Razorpay and Stripe for end-to-end online payment processing across both customer and seller flows

Chennai, India · Sep 2021 – Mar 2023

Pipecandy is a sales intelligence platform for e-commerce. Built core data collection infrastructure and a BuiltWith-style technology profiler for identifying the tech stack of any website at scale.

• Technology Intelligence Engine — Built a web technology profiler that identifies the frameworks, analytics tools, CDNs, and payment providers used by any website — combining HTTP header analysis, DOM fingerprinting, and behavioural detection via Puppeteer, deployed on AWS Lambda + S3 for async processing at scale
• Chrome Extension — Built a React-based browser extension that surfaces real-time technology stack insights inline while browsing, increasing SaaS platform engagement by 30%
• Analytics Dashboards — Developed interactive data visualisation dashboards with React and D3.js for tracking technology adoption trends across e-commerce companies
• Web Performance — Audited and optimised key landing pages, achieving a 25% improvement in Core Web Vitals (FCP, LCP, CLS)
• Data Warehousing — Led migration from PostgreSQL to Snowflake using DBT, applying query optimisation and job scheduling that boosted pipeline performance by 15%

Chennai, India · Nov 2020 – Sep 2021

• Built an internal automation tool to manage document versioning and revision workflows, replacing a manual process across engineering teams
• Supported quality assurance processes aligned with ISO and NABL standards